To analyze professor Liu Baowen’s administration features on treating myeloproliferative applying data mining technology. Methods: A database was set up including 28 myeloproliferative cases (149 clinic consultations) treated by Prof. Liu. Frequency of administration and correlation of herbs was tested. Analysis was performed by SPSS Modeler. Results: The herbs that were most frequently used by Prof. Liu on treating MPD were Chenpi, Gancao, Dansheng, Danggui, Nuxi, Shudi, Shanyao, Honghua. There were 43 parts of herbs tested from the correlated analysis, of 12 pairs corresponded to Prof. Liu’s experience. Besides, we found 5 new pairs: Dansheng and Chaihu, Chaihu and Niuxi, Niuxi and Dangsheng, Puhuang and Dangsheng, Danggui and Qingdai. Conclusion: Prof. Liu treated MPD mainly by promoting blood circulation and removing blood stasis, and also combined with generating qi and blood herbs. The result of data mining basically reflects Prof. Liu’s medical experience on treating MPD.